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Paper Citation Record · LEDGER

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning

As of 12 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 1 inbound Pith citation observation for arXiv:2411.17453.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.17453 v2

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:11:15.847125Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T01:03:12.268222Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-11T01:03:12.460978Z

Reference resolution

89 of 89 outbound references displayed

  • verified exact0
  • verified fuzzy58
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9f87a53-99bd-405c-80bf-5fdb4c674e16 · outbound

This paper cites GQA: training generalized multi-query transformer models from multi-head checkpoints.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning GQA: training generalized multi-query transformer models from multi-head checkpoints

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.448797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.448797Z digest=sha256:479aa2d9dc40c71472e9a1ba5aa08a04e599e5d5ce1d159ae800e71aae0e1451

Observation 20baa03e-6059-4e1f-af85-b6507235c348 · outbound

This paper cites Reddy, and Bimal Viswanath.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Reddy, and Bimal Viswanath

Reference 2

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unresolved
no resolver link, observed 2026-08-12T12:11:15.453918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.453918Z digest=sha256:a320f778275e7be9fbe8cfffcf0c4ab3e19eeee1e257b18f6b4714b7143863b9

Observation 347243c9-61c3-4207-84bf-53694e795f64 · outbound

This paper cites Qwen Technical Report.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Qwen Technical Report

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.458752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.458752Z digest=sha256:339d450ba4cc9db6d3ff81d88e2e5651c6a5795d66ff0144b524934fc3402ce5

Observation 9f69277e-ed94-46a4-81e0-a294ae0a7d5e · outbound

This paper cites an unresolved cited work.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.463547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.463547Z digest=sha256:0bb0fb5c7761463740ebdea708e51235a11334dd640089ccca22167db93d274a

Observation f235b915-526c-4134-8cc9-355d3032e6ed · outbound

This paper cites an unresolved cited work.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.468091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.468091Z digest=sha256:9027a43445f318f315c48f4c3ac0bc9e2de1d899315b23ec0d6240e42a7b381c

Observation ad53a83d-2fd5-49cb-b8f9-ffccc2a0f3d3 · outbound

This paper cites Code alpaca: An instruction- following llama model for code generation.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Code alpaca: An instruction- following llama model for code generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.472510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.472510Z digest=sha256:eeb80ae4cc49f0d12dfb53d5d28f9cd5f5d546387c1005b1e5ffae243c1c1a5f

Observation 27187a2f-3c2f-4032-a54d-20ef17dc2dc2 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.476867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.476867Z digest=sha256:4c1c04a9242efc877c9751d23def21facea1e56e84bb5af5b07a06962aefefdc

Observation b6fab98c-61fe-4b1b-8bb2-83e15d0764ae · outbound

This paper cites Defending against Backdoor Attack on Deep Neural Networks.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Defending against Backdoor Attack on Deep Neural Networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.482080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.482080Z digest=sha256:e7aee0a72cf88949453edc0be9aa551abb2d9598c42f525e11bb4676869c113e

Observation 63a0e62b-0a91-40a7-a968-3f160c4bfe94 · outbound

This paper cites an unresolved cited work.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.486536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.486536Z digest=sha256:993d4ce7f3ac49db1bd39b284aeb4f199867f25b1333186380549acbbe2f1dad

Observation 55b33ff5-cd7d-4292-b404-7dac77148e48 · outbound

This paper cites Test-time poisoning attacks against test-time adaptation models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Test-time poisoning attacks against test-time adaptation models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.490923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.490923Z digest=sha256:0a49a521ab5c82e1adbf02d607133a90b5241f767cdabb1e5cc4ef6e5e230c5a

Observation 04d959eb-c242-4de4-8f5e-3cae434b52ce · outbound

This paper cites A back- door attack against lstm-based text classification sys- tems.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning A back- door attack against lstm-based text classification sys- tems

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.495990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.495990Z digest=sha256:e3e819223ca422d2cc616c44ab16573e8c75f6899b8c8f430088ba532ca53aa2

Observation f6421587-ba62-46d6-8d45-f92c332f4d90 · outbound

This paper cites Qlora: Efficient finetuning of quan- tized llms.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Qlora: Efficient finetuning of quan- tized llms

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.500219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.500219Z digest=sha256:8237caeec114ec257d8a11303d3d4c15e8a3afdfba5d20a91b660a71c5a8f7ea

Observation 9430e9ac-d4ed-4205-9581-a73a98739039 · outbound

This paper cites BERT: pre-training of deep bidi- rectional transformers for language understanding.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning BERT: pre-training of deep bidi- rectional transformers for language understanding

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:17.027358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.504537Z digest=sha256:c1ea8855dc96306050d16b8cacacf1331b1cd6d27de8661e890b156989e4103c

Observation 4babdc79-0a7a-4836-9c99-58e4d56cec5b · outbound

This paper cites The philosopher’s stone: Trojaning plugins of large language models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning The philosopher’s stone: Trojaning plugins of large language models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:17.012968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.508788Z digest=sha256:cc4396f24fb9932fbdb7b741708b9e6e3f92d8ac0373db6f8cab4e0fd5fbeb61

Observation 5dbaf68e-97e7-48c4-afc4-0c6138c46b18 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.998236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.514224Z digest=sha256:daec4dea89139d7f55aac470642620bdf45c0a12e0b8242bb7ea770c74f52f3e

Observation af041be9-967d-4f00-bde4-2083c6b42ae4 · outbound

This paper cites GLM: gen- eral language model pretraining with autoregressive blank infilling.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning GLM: gen- eral language model pretraining with autoregressive blank infilling

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.983891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.518591Z digest=sha256:d5f110c8a71c0ca0d18c18d0cc46e4588eab4be49590cfcd38d2c712cc5f8f91

Observation 1e5520ed-e8b2-4209-b095-e78b8540a4f6 · outbound

This paper cites Huggingface:baidicoot/toxic-backdoors- alpaca, 2024.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Huggingface:baidicoot/toxic-backdoors- alpaca, 2024

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.969521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.523216Z digest=sha256:c8bdca509f8ebc3599c69b0736816b4cca4ce356966be7b31e28f6395c9ba3c3

Observation dc809c6d-a8fa-4327-916c-1a8014ac43aa · outbound

This paper cites Huggingface:baidicoot/toxic-backdoors- hard, 2024.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Huggingface:baidicoot/toxic-backdoors- hard, 2024

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.955201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.527451Z digest=sha256:677c1c0fd4d95d4131f2a6cd6a34cbb95f87ac44907fde924819d0ffaa01bb34

Observation f43775c1-f960-49bc-a125-5d839cf8bff7 · outbound

This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.940565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.532259Z digest=sha256:53b9f3a511cbff78e0eda1f9062d937e2569585a2654cbfd52e70b69e33c56cd

Observation a44d37bb-5f3c-44e9-a3a2-5ec6342cfa3c · outbound

This paper cites Making the V in VQA matter: Elevating the role of image understanding in vi- sual question answering.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Making the V in VQA matter: Elevating the role of image understanding in vi- sual question answering

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.925644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.537496Z digest=sha256:2b3277d799830b7eb64d9844eb3aa498ddc6048220f1e1ed5f3e95243a29aca5

Observation bd0001d8-26f8-4f60-8971-6cf4ace9ff0d · outbound

This paper cites Badnets: Evaluating backdooring at- tacks on deep neural networks.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Badnets: Evaluating backdooring at- tacks on deep neural networks

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.910238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.541957Z digest=sha256:1b87e602e9c2a3928d40709bc78e3d26744f614ff6f1b69944345c90fb42375f

Observation 6b7143d5-bf5f-4164-bc02-6c2356412719 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.546212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.546212Z digest=sha256:14fd642b47fee4bdafb2ec3aab117a557899441b9cc4966ba7dd66325b64c672

Observation b4cc82b7-593f-4ae8-9c2a-a8251ecb4aa0 · outbound

This paper cites Lora+: Efficient low rank adaptation of large models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Lora+: Efficient low rank adaptation of large models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.894730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.550905Z digest=sha256:c3f74f80ab51d395399a371702a4f95520368cf1ea9791452697f18ff9f20d3c

Observation c4f1de78-b169-4988-a179-12eb0f2270ae · outbound

This paper cites Deberta: decoding-enhanced bert with disentangled attention.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Deberta: decoding-enhanced bert with disentangled attention

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.879659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.555452Z digest=sha256:0ec06ab00f59a7fec999508dc0c7e685bb6324f62d112a861b2dce1b9e6bb59e

Observation 0485262c-4cf4-4c83-b2fe-34a82ba5b65a · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.864772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.559806Z digest=sha256:ade932cfa3b146fd368399763deb1f74d397bc0b0556aa89bbc618a559090641

Observation 66581813-c9b0-418b-81de-6995c9a55f4d · outbound

This paper cites LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.564013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.564013Z digest=sha256:43e38f15b1b95d9a2a069648d194a4478816ba1f7d8c22ab44f334840a3cc376

Observation 54066bc0-109a-492c-93ee-c7efaf9f8c0a · outbound

This paper cites Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.568632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.568632Z digest=sha256:1b4160758e938207969ec93a46019ce74be81919bd3d1f6c6406def134b0ac55

Observation 2529e2a7-14f7-4efe-ae4d-aa5df5ada0b2 · outbound

This paper cites Editing models with task arithmetic.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Editing models with task arithmetic

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.850616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.573140Z digest=sha256:9e1f732645d424e52ad5811b916f8cde9f22bd9756a2332ec58b1992856b1927

Observation 93d060e9-b3a3-40e9-9b93-73bd65451490 · outbound

This paper cites Adversarial example generation with syn- tactically controlled paraphrase networks.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Adversarial example generation with syn- tactically controlled paraphrase networks

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.835797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.577480Z digest=sha256:daa86cc6abea2b9d5ea5be038d3e42908774e46996be55b079263ea5e88c9fa8

Observation 6914d29f-de14-4f9b-9214-115cfcd06682 · outbound

This paper cites Backdoor at- tacks against learning systems.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Backdoor at- tacks against learning systems

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.820544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.581789Z digest=sha256:7c880c99d2c14e27428a61365b3111dcd37b164b1fa4685ae0cdc8e412060fc4

Observation 90a059bb-0f71-40a0-9c8b-0c20314d6f21 · outbound

This paper cites Mistral 7B.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Mistral 7B

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.586144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.586144Z digest=sha256:8bf639e094e16255ecd5656c2ba28bff26df1e0c490b8e660fb5db67107f5885

Observation e711f389-9061-417d-bf39-2a4f6cbefc24 · outbound

This paper cites Supervised contrastive learning.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Supervised contrastive learning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.805225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.590858Z digest=sha256:ceda7cd4847150f1de4ceec91bbf1e2d7e86ffd73f96a074f2284a810e754d92

Observation 28607457-23ee-4c3c-b63e-5268eeb42474 · outbound

This paper cites Learning multiple layers of features from tiny images.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Learning multiple layers of features from tiny images

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.789757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.595918Z digest=sha256:36a71d0b4c0b8a478cd5f57d5e2f58abdd87fe656e87370753ad13ffb525b931

Observation 320faf46-5560-43e3-8825-ddab07af3a0f · outbound

This paper cites Goodfellow, and Samy Bengio.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Goodfellow, and Samy Bengio

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.775029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.600617Z digest=sha256:1e99974b7859b3fc5d894e8b5f4121f0615f739fd5091f26f3064e7dea1cf24c

Observation 29a66ecd-c2fd-4f4e-a8d9-6ed7ac8d4e0d · outbound

This paper cites Weight poisoning attacks on pretrained models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Weight poisoning attacks on pretrained models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.760236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.605418Z digest=sha256:7527631372df72f97624316cbbaeeac877b18b35cfe9f145d027818fece137d6

Observation 4a1acd57-1cc0-43f2-9caf-30a98744a815 · outbound

This paper cites Detecting 16 backdoors with meta-models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Detecting 16 backdoors with meta-models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.746465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.610854Z digest=sha256:56bc9eb313916055fdd764747b9cf0cc86bb4b21343c17fe33a6b066cf6a162d

Observation 6581b14b-2fcf-4d44-9f64-0b1532ce2795 · outbound

This paper cites BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.732464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.615595Z digest=sha256:07f647648ad7adbcd601d592db6fd94085fe6ff33087e4d7d45603c8314ecc68

Observation 6a7627fc-133b-41b5-b33a-a9ab929449a0 · outbound

This paper cites Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.619772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.619772Z digest=sha256:19b32a3b027d1d9df8d6179695c9bb404082b5f24b5cc13e19259ee060f4d1df

Observation 99dbd3ea-fd40-4429-84fd-7efc574725cf · outbound

This paper cites LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.624328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.624328Z digest=sha256:6dc24b173ed0d5934f3b370af2bc08ca3ccf1bc514f72288a474bed3493bb8cf

Observation 99ff61d2-14ed-4460-a952-83cf817d6135 · outbound

This paper cites Dora: Weight- decomposed low-rank adaptation.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Dora: Weight- decomposed low-rank adaptation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.718139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.628868Z digest=sha256:c9ca946c6928721e85e807414c5b651fdbddd2cfcde55dfacd9dbd44108b8711

Observation 21082df7-f051-4fe2-96e4-92db27c6b87d · outbound

This paper cites Piccolo: Ex- posing complex backdoors in NLP transformer models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Piccolo: Ex- posing complex backdoors in NLP transformer models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.703292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.633156Z digest=sha256:af9f9a3fdc7946ed15489f52daafadbf9d55ff6bdf8082d4c18e4063389f4e75

Observation f0401600-993b-4f57-a162-4233ffc55c4c · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.637604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.637604Z digest=sha256:ce73eb86275e9766f1da95f52bfcac8c9307c650d2b4c7a20e59ddc461a085fd

Observation fa373464-4db1-436d-9e95-fba49c187a43 · outbound

This paper cites Quantized Delta Weight Is Safety Keeper.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Quantized Delta Weight Is Safety Keeper

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.642444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.642444Z digest=sha256:22e9219a9e1dd532050b71447556334478c00e8a7706cbb85a0c6959ebffeba2

Observation ae7829a2-1d1b-4d7c-941c-4dea54e3c912 · outbound

This paper cites A study of the attention abnormality in trojaned berts.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning A study of the attention abnormality in trojaned berts

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.689532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.647290Z digest=sha256:23cc87ecbcf3b111b9aa78e5a126e2f457fc502ee208ca8c179c37fbb690c8f4

Observation ca79f57a-3795-4dee-8f40-30da2cd1f9f0 · outbound

This paper cites Maas, Raymond E.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Maas, Raymond E

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.674733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.651637Z digest=sha256:d0441c2e2bce9918c818119e18042ea90c4859e4fab8e57a90a1a9cba36c3ab1

Observation ac00f8a7-7f64-4399-b100-f7c47999e45d · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Towards deep learning models resistant to adversarial attacks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.659423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.655985Z digest=sha256:c3d32ac8a10aae0fa9f2b10605641d1e094328802738634e44aea9464d2aa1f1

Observation ce775f4c-38d1-4dd1-8930-4bf49d27bd1d · outbound

This paper cites The trojan detection challenge.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning The trojan detection challenge

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.643316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.660030Z digest=sha256:431a66fcc0c215e326c3b48b9ed5b00e4e1d827bae42097ed886a971217e3748

Observation b211eb39-eee1-4737-b217-84c43e6ab10f · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date, 2024.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Introducing meta llama 3: The most capable openly available llm to date, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.628904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.664480Z digest=sha256:38e4b018fdc18a24a587abba1cf4daef0610178706e23190377b5796badd1921

Observation 44fbabe9-72c0-4ca9-8785-6b2a0dd799c0 · outbound

This paper cites https://copilot.microsoft.com, 2023.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning https://copilot.microsoft.com, 2023

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.613422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.668598Z digest=sha256:0eeb0f785d3d9352dbd049ad2926fb37365956d2d251a9e2b25061c415bcdabd

Observation ffb68295-297c-4303-89af-cbb1581e151e · outbound

This paper cites Large Language Models: A Survey.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Large Language Models: A Survey

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.673849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.673849Z digest=sha256:25fbc0a937c688907f661a42ac6234d8d9780da39afb1087ec3e45b64de3e9c4

Observation c9d58655-c6a2-4318-997e-703c95eefc6f · outbound

This paper cites https://openai.com/index/chatgpt/, 2022.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning https://openai.com/index/chatgpt/, 2022

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.599676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.678512Z digest=sha256:5f29988696ab1224b2978113f1e0c8a511965e38742a3fa54b4e5caec112d8dc

Observation 9722d813-eb00-471e-84bb-0921e62f368a · outbound

This paper cites Gpt-4 technical report, 2023.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Gpt-4 technical report, 2023

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.584884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.683119Z digest=sha256:d095e767a16a928cce371ea034efa01cedc4ef96c127330ad2098169f0d3f37f

Observation dc9a0d19-6ab2-4355-893e-5ce1e56dc979 · outbound

This paper cites Mind the style of text! adversarial and backdoor attacks based on text style transfer.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Mind the style of text! adversarial and backdoor attacks based on text style transfer

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.570409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.687459Z digest=sha256:585a75dfe7e85c1c289a10947c3f33de433b77d763b86c059df47bccfb47085c

Observation 3066b2c3-a3db-40c0-9bbc-f9e800ccd38d · outbound

This paper cites Hid- den killer: Invisible textual backdoor attacks with syn- tactic trigger.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Hid- den killer: Invisible textual backdoor attacks with syn- tactic trigger

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.554873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.691655Z digest=sha256:781e66fb26b61e5debeb1728c898aa350c8ba429b0c1f623a92980fa009c0a5b

Observation ca6ba87f-4354-42de-9f8f-f03171a514e1 · outbound

This paper cites Improving lan- guage understanding by generative pre-training.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Improving lan- guage understanding by generative pre-training

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.539442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.695769Z digest=sha256:4d0077f167c5c1474e3869fa6b20a40f56346f857b27b0c8a983ec78031ca9ef

Observation d4667f13-cc76-4c79-a073-5f39e6002369 · outbound

This paper cites Manning, Stefano Ermon, and Chelsea Finn.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Manning, Stefano Ermon, and Chelsea Finn

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.522952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.699853Z digest=sha256:0427e35ee749b74bf3aa3a295c54373e1e69381bafbf6a5578de53a8c5718cad

Observation 86e6a407-54ca-4e49-9b7d-f1bb80dfd2ee · outbound

This paper cites an unresolved cited work.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:11:16.508475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.703865Z digest=sha256:f1b7043881d20e2072a38e2da8109b39c66b8d50f2c75526fd2c2d1bef3020fa

Observation 89489803-cc70-4cb2-b46c-5b8c4781072a · outbound

This paper cites Squad: 100, 000+ questions for machine comprehension of text.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Squad: 100, 000+ questions for machine comprehension of text

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.494636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.708672Z digest=sha256:790541d5796cb988d32627ad77bcd0406ed9ee1ed7f022cf9e4eee1d0fd757f9

Observation da08ce98-f458-4f6b-b91e-0c95fc23ab17 · outbound

This paper cites Fine-Tuning Is All You Need to Mitigate Backdoor Attacks.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.713430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.713430Z digest=sha256:1b84d90bf5a92f3f19bdb3a002a758f9f8f19e9fb6b8b40194902838f16eedbc

Observation c4ea4dda-0d9f-423f-8bf2-688ee9428669 · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Fast Transformer Decoding: One Write-Head is All You Need

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.718356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.718356Z digest=sha256:5d880b79b479e9dd9d180952d11fe212d54e9465b9a600735b9e687fd82a48d8

Observation 5679b444-267b-4c61-92f7-5f41bb7ba5ff · outbound

This paper cites Backdoor pre-trained models can transfer to all.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Backdoor pre-trained models can transfer to all

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.480465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.723505Z digest=sha256:6f29ac75cc884b21499bb4be68d742d1537320a7c0ca996a8bca0fd0da150840

Observation 4773d9a3-28c8-422c-9286-5a5454a9f873 · outbound

This paper cites Hashimoto.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Hashimoto

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.466816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.728172Z digest=sha256:4b6830bfc38548a51b73e18559f7a0be04a977bc4e410f555cd6ba30773f6395

Observation e2c87b8c-2e6d-477e-93e5-27e3c7e728a1 · outbound

This paper cites No Language Left Behind: Scaling Human-Centered Machine Translation.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.732312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.732312Z digest=sha256:21a4e54cea5cdd4dde48921f0f5dcff56f9f9a79d4c70b9f55a7aa29c0f5e56e

Observation 6d053326-127e-414c-94a4-0fc824df835c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.737482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.737482Z digest=sha256:48a508efea95f7c2ff45ed3f8d2bb829db8ae07fcb303d67364792bd58b2566a

Observation 8c7cacdb-cf47-49db-a51a-0218525ac76b · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.453015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.742331Z digest=sha256:d734c86bd3e31b097c53c322d39574f0da08fb2394d9d02213136707eea7cf69

Observation 542584c1-589c-41f1-89c8-52bb7b240a2c · outbound

This paper cites Poisoning language models during instruction tuning.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Poisoning language models during instruction tuning

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.438437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.746575Z digest=sha256:1308aacf16bfbfc04eea46d5dab8853862773a5cb9eb026bc661a6cf3ba1d6ff

Observation 40e300ed-8d78-41d7-bed0-5f2f57a809bb · outbound

This paper cites harmless.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning harmless

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.424825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.751167Z digest=sha256:85555a9fae82d97da9c2de568f4dbbae90fc397729616f0d8e4844cc3f9dc56f

Observation e1cf9456-83f6-43e1-8048-1259632ba7c2 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.755331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.755331Z digest=sha256:73fed038d150021b095e617bac2534ef6307b528d84d00000f751ef91f35428b

Observation b4d364a2-76d1-4453-a816-0608bd848fbe · outbound

This paper cites Ghostencoder: Stealthy backdoor attacks with dynamic triggers to pre-trained encoders in self-supervised learning.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Ghostencoder: Stealthy backdoor attacks with dynamic triggers to pre-trained encoders in self-supervised learning

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.411112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.760172Z digest=sha256:abb2f4ca0f5f89bbe5e9d1cc9a779b53d75bdb59846a66f86c664d6e210d7639

Observation 64ffc823-1fca-445c-a81a-12166ee8a435 · outbound

This paper cites Gunter, and Bo Li.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Gunter, and Bo Li

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.396180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.764383Z digest=sha256:8f2788a02f7f7ada09b28b8a291fa7f0cc6ddace47f355003f16e00a578cf5ba

Observation 32698431-c48f-48f1-b622-ffd33ba35add · outbound

This paper cites Backdooring instruction-tuned large language models with virtual prompt injection.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Backdooring instruction-tuned large language models with virtual prompt injection

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.381813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.768448Z digest=sha256:07d462f09c3c28ae3533c6c06d3d627b0d7a76a6571d6210e095441bf7e8dff2

Observation 0a812865-a136-49f9-9cdd-048db2e813f1 · outbound

This paper cites A comprehensive overview of backdoor attacks in large language models within communication networks.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning A comprehensive overview of backdoor attacks in large language models within communication networks

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.367609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.773474Z digest=sha256:c9f1d60eab753835be39c42de81ce75eb6326f1a10df7cca853b4e6a351f6961

Observation f0a8f572-e1fc-4b4b-a219-9cf553ceafc1 · outbound

This paper cites Watch out for your agents! in- vestigating backdoor threats to llm-based agents.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Watch out for your agents! in- vestigating backdoor threats to llm-based agents

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.354125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.777601Z digest=sha256:f65a08148c454c541fd88b985dac917c31e2482b5358d18013655be5576287ed

Observation 1e927848-20e7-4ed5-bebe-168d88e3d052 · outbound

This paper cites Be careful about poisoned word 18 embeddings: Exploring the vulnerability of the em- bedding layers in NLP models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Be careful about poisoned word 18 embeddings: Exploring the vulnerability of the em- bedding layers in NLP models

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.339588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.781712Z digest=sha256:f1d74a63a48d4952ec8849232a5e8180b9f2ef2a82d473bfbcf87e26c1bb9af4

Observation 3cc5a852-1b12-477c-ac21-5c4d078b6abe · outbound

This paper cites Data poisoning attacks against multimodal encoders.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Data poisoning attacks against multimodal encoders

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.325701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.786140Z digest=sha256:36c8bb72a9baa998a2c1e07bbdacf01c591105fd7bffb45ec96e080bdb10418b

Observation 537d02dc-0d5f-4af8-b5a1-e55e89d0f41e · outbound

This paper cites an unresolved cited work.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:11:16.312054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.790710Z digest=sha256:5512aaada15c4025de41ab07fd0755577761c28cfbecd74c4de0faeca37c2715

Observation 143553c8-e7d6-44e0-a7a5-ff390ec2ef4d · outbound

This paper cites Jailbreak Attacks and Defenses Against Large Language Models: A Survey.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.794957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.794957Z digest=sha256:5653ef88fd616725e920c57d73b9472a192b8022888697ced08df195a3c5ac98

Observation aca5b6af-8cf1-40cb-add9-934a84845414 · outbound

This paper cites CLIBE: detecting dynamic back- doors in transformer-based NLP models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning CLIBE: detecting dynamic back- doors in transformer-based NLP models

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.298416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.799393Z digest=sha256:2111ce7a89c2884ef78dfafef67ae21d0dbdffc5d6a13dd942c1d544ec103a22

Observation 138321a3-b8ad-456f-b1da-9455cfd6a724 · outbound

This paper cites SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.803543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.803543Z digest=sha256:39e279817f5a05325695a222180cc55718b70886080152dabeacb9e5fcecb8d9

Observation 11b75012-6e89-404d-9f72-8d6cfd6b4ee5 · outbound

This paper cites Composing parameter-efficient modules with arith- metic operation.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Composing parameter-efficient modules with arith- metic operation

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.284398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.808103Z digest=sha256:31cb53e1ddb967956b83563128ee8b550bb84affe800d8644a213a7b859469d2

Observation 316602bd-f918-456d-ba40-d0ddc75c94f4 · outbound

This paper cites Badmerging: Back- door attacks against model merging.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Badmerging: Back- door attacks against model merging

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.270744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.812348Z digest=sha256:bc146acb1058e49e86fdbadc096f4f750a4e0ea19dcace8695dda0962aa61384

Observation e4840694-2d32-4f45-afd6-ad0c2fa0a481 · outbound

This paper cites Adaptive budget allocation for parameter- efficient fine-tuning.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Adaptive budget allocation for parameter- efficient fine-tuning

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.255629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.816682Z digest=sha256:bb6739585bdee340d17cbfb42e01b0393e6f8fef2aee5f1d2f19690f0ca2b1de

Observation fa309cb9-ef19-4910-a7ec-6f6cade2f2bc · outbound

This paper cites Instruction backdoor attacks against customized llms.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Instruction backdoor attacks against customized llms

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.240730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.821131Z digest=sha256:0faf6ea53b6298c0e4abfb54bc806ec9dd659df88bf5a640db37d2a5ce8183cf

Observation 5f7b4a43-afa3-4d70-9480-0e682d6514cd · outbound

This paper cites Character-level convolutional networks for text classi- fication.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Character-level convolutional networks for text classi- fication

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.224685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.825240Z digest=sha256:56d214fca27a0bc6b6dca7bfa3bbe33fb0c62b13dfdd09fbdce7125d3ff763cb

Observation 9bafe03d-f80b-43d0-a4a6-517fb02b2076 · outbound

This paper cites Fine-mixing: Mitigating backdoors in fine-tuned language models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Fine-mixing: Mitigating backdoors in fine-tuned language models

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.210095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.830202Z digest=sha256:1226c04d66af7bf7ef38bd213136796cbdab9d7d01bcf78e928818c5c7b36ccb

Observation bba8ca9e-03bb-4bbf-b59e-3b3cf6021837 · outbound

This paper cites A Survey of Large Language Models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning A Survey of Large Language Models

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:15.834339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:15.834339Z digest=sha256:9bc7f64c908721bfb48013f8ac1da4df605c6cc4159081d48a5e296d8a34491c

Observation 705643db-11c1-4ced-8b55-95e2ca9bd5b3 · outbound

This paper cites Lo- raretriever: Input-aware lora retrieval and composition for mixed tasks in the wild.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Lo- raretriever: Input-aware lora retrieval and composition for mixed tasks in the wild

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.195338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.838873Z digest=sha256:f467e3ee6f1be11d5cec273d67549a6ca4b14c113d6f45c9ac8da07345e38e17

Observation efe7c372-c93f-4a29-8fcf-cbe5cbfa7b40 · outbound

This paper cites Cl-attack: Textual backdoor attacks via cross- lingual triggers.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Cl-attack: Textual backdoor attacks via cross- lingual triggers

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.181093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.843061Z digest=sha256:0643b6e236b12a91682094d1ad229f5671abca44c14dbd487a1842264a49c2cf

Observation b2bd169c-b813-4583-8f4d-89e93aebc38e · outbound

This paper cites -” indicates empty because the instruction-following datasets can’t be evaluated for clean accu- racy. “*.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning -” indicates empty because the instruction-following datasets can’t be evaluated for clean accu- racy. “*

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:16.166319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:15.847125Z digest=sha256:cea395fa7d93c8accc10a8f64a8c6b4bfce015e4ddc545217988ac4c33a5b5f4

Pith citing papers

Observation ec5e99ac-f515-4b64-86d6-0ddc5881dddc · inbound

CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers cites this paper.

CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-11T01:03:12.468424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T01:03:12.268222Z digest=sha256:cfb04d4ea0377fcc215a4adbf012626a8895f7ff719c03233a66c70b8d9fb57b